Manoj Baranwal

1.3k total citations
63 papers, 884 citations indexed

About

Manoj Baranwal is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Manoj Baranwal has authored 63 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Infectious Diseases and 10 papers in Epidemiology. Recurrent topics in Manoj Baranwal's work include vaccines and immunoinformatics approaches (14 papers), Viral Infections and Vectors (13 papers) and Viral Infections and Outbreaks Research (8 papers). Manoj Baranwal is often cited by papers focused on vaccines and immunoinformatics approaches (14 papers), Viral Infections and Vectors (13 papers) and Viral Infections and Outbreaks Research (8 papers). Manoj Baranwal collaborates with scholars based in India, Russia and United States. Manoj Baranwal's co-authors include Sahil Jain, Svetlana F. Khaiboullina, Albert A. Rizvanov, Ekaterina Martynova, S. M. Reddy, M. Sudhakara Reddy, Geetika Gupta, Sanjai Saxena, Barbara Tettenborn and Volker Limmroth and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Manoj Baranwal

59 papers receiving 866 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manoj Baranwal India 17 230 230 160 135 94 63 884
Lixin Yang China 18 262 1.1× 51 0.2× 64 0.4× 96 0.7× 88 0.9× 65 859
Jun An China 20 401 1.7× 227 1.0× 25 0.2× 143 1.1× 178 1.9× 74 1.2k
Junpeng Chen China 16 307 1.3× 49 0.2× 48 0.3× 61 0.5× 117 1.2× 105 1.2k
Yi Ru China 22 493 2.1× 153 0.7× 51 0.3× 415 3.1× 90 1.0× 122 1.5k
Zhiyong Shen China 23 1.1k 4.6× 147 0.6× 72 0.5× 202 1.5× 137 1.5× 80 1.9k
Rong Xia China 23 429 1.9× 230 1.0× 26 0.2× 236 1.7× 422 4.5× 138 1.7k
Zrinka Bukvić Mokoš Croatia 16 124 0.5× 49 0.2× 63 0.4× 124 0.9× 166 1.8× 66 1.2k
Yulan Jin China 20 344 1.5× 86 0.4× 60 0.4× 176 1.3× 147 1.6× 65 1.1k
Yulin Xu China 20 659 2.9× 166 0.7× 51 0.3× 253 1.9× 111 1.2× 71 1.3k
Xin Dong China 13 674 2.9× 104 0.5× 28 0.2× 379 2.8× 55 0.6× 21 1.3k

Countries citing papers authored by Manoj Baranwal

Since Specialization
Citations

This map shows the geographic impact of Manoj Baranwal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Manoj Baranwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Baranwal more than expected).

Fields of papers citing papers by Manoj Baranwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manoj Baranwal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Manoj Baranwal. The network helps show where Manoj Baranwal may publish in the future.

Co-authorship network of co-authors of Manoj Baranwal

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Baranwal. A scholar is included among the top collaborators of Manoj Baranwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manoj Baranwal. Manoj Baranwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Xiaochun, et al.. (2025). Imipenem-induced outer membrane vesicles from Elizabethkingia anophelis inhibit biofilm formation and shift nosocomial pathogen dynamics. International Journal of Medical Microbiology. 320. 151670–151670.
2.
Garanina, Ekaterina, И. М. Хаертынова, Maria Markelova, et al.. (2024). Cross‐reactivity of hantavirus antibodies after immunization with PUUV antigens. Biotechnology and Applied Biochemistry. 71(5). 1139–1153. 1 indexed citations
3.
Baranwal, Manoj, et al.. (2023). Assessment of kinetic and statistical models for predicting breakthrough curves of bio-colloid transport through saturated porous media. Journal of Contaminant Hydrology. 259. 104246–104246. 2 indexed citations
4.
Baranwal, Manoj, et al.. (2023). Analysis of highly frequent point mutations in glycoprotein C, glycoprotein N, and nucleoprotein of CCHFV. Biotechnology and Applied Biochemistry. 71(2). 280–294. 1 indexed citations
5.
Jain, Sahil, Svetlana F. Khaiboullina, Е. В. Мартынова, Sergey P. Morzunov, & Manoj Baranwal. (2023). Epidemiology of Ebolaviruses from an Etiological Perspective. Pathogens. 12(2). 248–248. 4 indexed citations
6.
Baranwal, Manoj, et al.. (2023). Mutational analysis of catalytic site domain of CCHFV L RNA segment. Journal of Molecular Modeling. 29(4). 88–88. 3 indexed citations
7.
Baranwal, Manoj, et al.. (2023). Immunoinformatics-Based Identification of the Conserved Immunogenic Peptides Targeting of Zika Virus Precursor Membrane Protein. Viral Immunology. 36(8). 503–519. 3 indexed citations
8.
Singh, S. D., et al.. (2023). Understanding immune checkpoints and PD-1/PD-L1-mediated immune resistance towards tumour immunotherapy. 3 Biotech. 13(12). 411–411. 9 indexed citations
9.
Liu, Rongzeng, Lili Zhao, Sahil Jain, et al.. (2022). Autoreactive lymphocytes in multiple sclerosis: Pathogenesis and treatment target. Frontiers in Immunology. 13. 996469–996469. 83 indexed citations
10.
Martynova, Ekaterina, Maria Markelova, Ekaterina Garanina, et al.. (2022). Immunogenic SARS-CoV-2 S and N Protein Peptide and Cytokine Combinations as Biomarkers for Early Prediction of Fatal COVID-19. Frontiers in Immunology. 13. 830715–830715. 7 indexed citations
11.
Gupta, Geetika, Sanjai Saxena, Manoj Baranwal, & M. Sudhakara Reddy. (2022). In vitro evaluation of bioactive properties of banana sap. Biologia. 77(10). 2989–3000. 8 indexed citations
12.
Baranwal, Manoj, et al.. (2021). Antiinflammatory phytochemicals against virus‐induced hyperinflammatory responses: Scope, rationale, application, and limitations. Phytotherapy Research. 35(11). 6148–6169. 11 indexed citations
13.
14.
Martynova, Ekaterina, Vinay Kumar, Т И Хайбуллин, et al.. (2020). Serum and Cerebrospinal Fluid Cytokine Biomarkers for Diagnosis of Multiple Sclerosis. Mediators of Inflammation. 2020. 1–10. 17 indexed citations
15.
Rakha, Emad A., Nigel P. Mongan, Regina Miftakhova, et al.. (2019). Metadherin: A Therapeutic Target in Multiple Cancers. Frontiers in Oncology. 9. 349–349. 54 indexed citations
16.
Baranwal, Manoj, et al.. (2019). Hetero-Polysaccharides Secreted from Dunaliella salina Exhibit Immunomodulatory Activity Against Peripheral Blood Mononuclear Cells and RAW 264.7 Macrophages. Indian Journal of Microbiology. 59(4). 428–435. 22 indexed citations
17.
Jain, Sahil, et al.. (2016). Metadherin peptides containing CD4+ and CD8+ T cell epitopes as a therapeutic vaccine candidate against cancer. Microbiology and Immunology. 60(9). 646–652. 20 indexed citations
18.
Vasundhara, M., Manoj Baranwal, & Anil Kumar. (2016). Fusarium tricinctum, An Endophytic Fungus Exhibits Cell Growth Inhibition and Antioxidant Activity. Indian Journal of Microbiology. 56(4). 433–438. 19 indexed citations
19.
Baranwal, Manoj, et al.. (2015). Identification of Conserved Peptides Comprising Multiple T Cell Epitopes of Matrix 1 Protein in H1N1 Influenza Virus. Viral Immunology. 28(10). 570–579. 16 indexed citations
20.
Baranwal, Manoj, et al.. (2014). Conserved Peptides Containing Overlapping CD4+ and CD8+ T-Cell Epitopes in the H1N1 Influenza Virus: An Immunoinformatics Approach. Viral Immunology. 27(5). 225–234. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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